Sponsored
AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
AI Networking Cookbook: Practical recipes for AI-assisted network automation and development
Similar papers
Open access
Aug 2026
Beyond AI-Generated Text: Strengthening Academic Integrity and Critical Thinking in Higher Education
Empirical evidence is contributed from educational action research showing that structured pedagogical interventions can promote the critical, ethical, and responsible use of Generative Artificial Intelligence in education.
Rodrigo Florêncio da Silva
· Information · 1 citation
Conference
Open access
Jul 2026
A Critical Analysis of Generative AI in Higher Education: Benefits, Challenges, and Future Directions
The findings reveal that GenAI can effectively improve teaching efficacy, enable personalised learning experiences, and streamline assessment procedures, however, its implementation also draws attention to concerns regarding academic integrity, data privacy, algorithmic bias, and ethical governance.
Xi Bi
· Exploring Science Academic C... · 0 citations
Review
Open access
Aug 2026
Empowering the AI-Literate Learners: Evaluating the Intersection of Digital Governance and Academic Integrity
It is concluded that in order for undergraduate education to continue to be relevant in a society where AI is pervasive, governance must change toward process-oriented evaluation and relational originality.
Joe Mutebi, Brian Mugisha, Ibrahim Adabara et al.
· F1000Research · 0 citations
Review
Open access
Jul 2026
ACADEMIC INTEGRITY IN THE ERA OF GENERATIVE AI: AUTHORSHIP, AUTHENTICITY AND FORMATIVE EXPERIENCE IN HIGHER EDUCATION
It is concluded that academic integrity cannot be reduced to rule compliance or technological surveillance, but must be understood as a constitutive dimension of educational experience, linked to intellectual honesty, responsibility, and critical formation.
Messias José dos Santos
· ARACÊ · 0 citations
Review
Open access
Aug 2026
Examining Generative AI Disruption: A Repeated Cross-Sectional Study of Faculty and Staff Sensemaking in Higher Education
The findings suggest that faculty and staff discourse shifted from primarily containing GenAI-related risks toward selectively integrating the technology into teaching and professional practice, and strategies for balancing innovation, integrity, equity, and the human purposes of higher education are identified.
T. Balart, Gibin Raju, Kristi J. Shryock
· Algorithms · 1 citation
Open access
Jul 2026
From production to verification: generative AI, doctoral formation, and the leadership of digital education
It is argued that the leadership of digital education should move beyond broad AI policies toward context-sensitive guidance, verification literacy, transparent disclosure norms, and process-based assessment, including the culminating site of doctoral assessment, the dissertation defense.
Evelyn Wu
· Frontiers in Education · 1 citation
Related blog posts
MIT News · Artificial Intelligence
· news.mit.edu
Oct 15, 2026
AI model decodes the language cells use to communicate
A new computational approach reveals how cells communicate to assemble into tissues. This could accelerate stem cell engineering, improve disease models, and inform therapies.
MIT News · Artificial Intelligence
· news.mit.edu
Oct 15, 2026
Q&A: The “collision” between AI, your brain, and society
In a new book, Professor Eric So explores how the technology affects our thinking skills.
Google Research Blog
· research.google
Oct 14, 2026
Putting Earth AI to work: Geospatial agents for our planet's biggest challenges
Earth AI
GPT-Lab
· gpt-lab.eu
Oct 14, 2026
Building trustworthy AI: The role of AI harnesses, intent contracts and evals
AI is moving beyond impressive demos. After World Summit AI 2026 in Amsterdam, GPT-Lab's Muhammad Waseem reflects on what organizations need to make AI agents reliable, responsible and genuinely useful in everyday work. The post Building trustworthy AI: The role of AI harnesses, intent contracts and evals appeared first on GPT-Lab.